Sentence examples for volume of data required from inspiring English sources

Reducing the volume of data required to meet users' needs for news access would be one way of perhaps addressing this issue.

AI tuning AI has another potential benefit – improving the learning curve for AI systems so that the volume of data required to produce meaningful results is also cut down.

The data compression through spike-time encoding not only dramatically reduces the volume of data required to capture discriminatory information leading to economical storage and transmission, but can also be used for pattern recognition in streaming data domain.

The volume of data required to show how all GOA assignations were made is beyond the scope of this paper.

This increasing volume of data requires tools that can quickly compare multiple whole-genome sequences, millions of base pairs in length, to aid in the study of populations, pan-genomes, and genome evolution.

To get the kind of volumes of data required to create serious value they're also looking to shrink their hardware right down — and stick it inside the phone.

Higher resolution and dimensions of these images generate large volumes of data requiring high performance computing (HPC) and advanced analytical methods.

Essentially, we all remain impressed with the data, are aware that the volume and complexity of data requires innovative new analytical tools, and we still all believe that the proposed analyses are likely very interesting.

As such, "the increase in both the volume and the variety of data requires advances in methodology to automatically understand, process, and summarize the data" (Jain 2010).

Considering the interdisciplinary nature of this work along with the volume of experimental data required, a number of significant technical and logistical challenges needed to be overcome through the planning and implementation of the fieldwork.

Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, controlling co-placement and scheduling of data with compute resources, and storing, transferring, and managing large volumes of data.